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» Improving Face Recognition by Online Image Alignment
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CVPR
2011
IEEE
15 years 1 months ago
Face Recognition with Large Pose Variation
2-D face recognition in the presence of large pose variations presents a significant challenge. When comparing a frontal image of a face to a near profile image, one must cope w...
Carlos Castillo, David Jacobs
ICIP
2005
IEEE
16 years 7 months ago
Feedback-based dynamic generalized LDA for face recognition
Linear Discriminant Analysis(LDA) is widely-used in face recognition systems. However, with the traditional formulation, the available information in the training samples is not su...
Dahua Lin, Shuicheng Yan, Xiaoou Tang
FGR
2004
IEEE
163views Biometrics» more  FGR 2004»
15 years 9 months ago
Model-Based and Image-Based Methods for Facial Image Synthesis, Analysis and Recognition
We review several model-based and image-based methods that we have developed for analyzing, synthesizing, and recognizing facial images. Our model-based methods include a sophisti...
Demetri Terzopoulos, Yuencheng Lee, M. Alex O. Vas...
FGR
2000
IEEE
159views Biometrics» more  FGR 2000»
15 years 10 months ago
Gesture Modeling and Recognition Using Finite State Machines
This paper proposes a state based approach to gesture learning and recognition. Using spatial clustering and temporal alignment, each gesture is defined to be an ordered sequence ...
Pengyu Hong, Thomas S. Huang, Matthew Turk
CVPR
2008
IEEE
16 years 8 months ago
Parameterized Kernel Principal Component Analysis: Theory and applications to supervised and unsupervised image alignment
Parameterized Appearance Models (PAMs) (e.g. eigentracking, active appearance models, morphable models) use Principal Component Analysis (PCA) to model the shape and appearance of...
Fernando De la Torre, Minh Hoai Nguyen